A hybrid PSO-ANFIS approach for short-term wind power prediction in Portugal

作者：Pousinho H M I; Mendes V M F; Catalao J P S^*

来源：Energy Conversion and Management, 2011, 52(1): 397-402.

DOI：10.1016/j.enconman.2010.07.015

• Wind power
• Prediction
• Swarm optimization
• Neuro-fuzzy

The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Wind power prediction plays a key role in tackling these challenges. The contribution of this paper is to propose a new hybrid approach, combining particle swarm optimization and adaptive-network-based fuzzy inference system, for short-term wind power prediction in Portugal. Significant improvements regarding forecasting accuracy are attainable using the proposed approach, in comparison with the results obtained with five other approaches.

• 出版日期2011-1